HomeMachine Learning & AIWant a 6-Figure AI Job in Canada? These Roles Dominate in 2025

Want a 6-Figure AI Job in Canada? These Roles Dominate in 2025

With Canada’s tech market booming and a surge in demand for roles powered by artificial intelligence and machine learning, the spotlight is now on future-ready professions. Job demand in AI-related fields has grown by up to 35%, driving the need for 2.6 million tech workers across the country. Cities like Toronto, Ottawa, and Calgary are leading the charge; Toronto alone has added 95,900 tech jobs in just five years. These trends make AI career paths among the most promising in today’s job landscape.

With higher demand for AI jobs in Canada, it is the best time to hone your skills and build a fulfilling career in the field. Here is an overview of the top AI job opportunities in Canada, industry insights, and the skills that you need to succeed.

Exploring High-Paying AI Jobs in Canada in 2025

Here is a closer look at the highest-paying AI job opportunities in Canada. 

Role Average Salary (CAD) Necessary Skills
AI Services Engineer CAD 120-150,000 Cloud computing, LLMs, and prompt engineering
MLOps Engineer CAD 150-240,000 CI/CD, Kubernetes, and cloud infrastructure
AI Trainer CAD 80-100,000 Content annotation, and AI model evaluation
AI Developer CAD 100-130,000 ML frameworks, Python, and AI architecture

Here are some insights on building your career path in artificial intelligence.

AI Engineer

AI engineers build computer applications and programs that can learn like humans. These are created through several machine learning and AI techniques, combining various software development, data science, and programming skills.

Machine Learning Specialist

Machine learning specialists and engineers utilize data for training machine learning algorithms and other models. These are used in the creation of self-learning applications that require training and subsequent retraining to evolve according to specific requirements.

Data Scientist

One of the many AI specialist jobs that you can consider in Canada, AI data scientists play a vital role in extracting insights from data and applying them to create AI, computer vision, and ML models.

 LJMU MSML

AI Product Manager

AI product managers supervise the development and unveiling of new AI products. The core goal of the job is to fill the gaps between internal teams and users. This will help businesses develop more valuable features and products accordingly.

AI Research Scientist

There are also several full-time and AI remote job opportunities in this field. AI researchers and scientists conduct experiments and publish their findings as they develop innovations. They collaborate with product development and engineering teams to create new products.

Also Read: Top 10 Online Data Science Courses & Certifications in Canada

Essential Skills and Qualifications for AI Professionals in Canada

There are several vital skills and qualifications for AI jobs in Canada. These include:

  • Python Programming.
  • Data analysis and modeling.
  • Machine learning libraries like NumPy and Pandas.
  • Version control, continuous integration, deployment, and testing.
  • Adaptability and continuous learning, attention to detail, time management, communication, teamwork, and problem-solving.
  • Bachelor’s degree in computer science, software engineering, or related disciplines.
  • You can pursue master’s or PhD programs to specialize in cloud computing, algorithms, data storage, analysis, and modeling.
  • Professional certifications including generative and applied AI, machine learning, Big Data, ML models, Python, R, Java, AI applications, deep learning, TensorFlow, PyTorch (deep learning frameworks), etc.
  • Knowledge of topics like recommender algorithms, linear regression, anomaly detection, neural networks, etc.
  • Other skills include data handling and analysis, manipulation with SQL and Pandas, NLP (natural language processing), computer vision, and cloud computing (Google Cloud, AWS).

Also Read: Top AI Project Ideas for Beginners in Canada

Advance Your AI Career in Canada with upGrad’s Specialized Programs

upGrad will help you leverage the best AI job opportunities in Canada with industry-relevant programs, specializations in high-demand fields, hands-on learning, practical experience, and personalized guidance. You can expect robust support all throughout the program, along with industry partnerships and partnerships with reputed institutions.

Here are some courses you can consider:

🎓 Explore Our Top-Rated Courses in Canada

Take the next step in your career with industry-relevant online courses designed for working professionals in Canada.

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FAQs on Want a 6-Figure AI Job in Canada

Q: What are the top-paying AI jobs in Canada for 2025? 
Ans: Some of the highest-paying AI jobs in Canada include AI engineers, machine learning specialists, AI research scientists, and data scientists.

Q: Which cities in Canada have the most AI job opportunities?
Ans: Some cities that offer excellent AI job opportunities in Canada include Toronto, Ottawa, Vancouver, Calgary, and Montreal, to name a few.

Q: What industries are hiring AI experts the most?
Ans: Several industries are hiring AI experts in large numbers, including healthcare, finance, media and entertainment, technology, education, and more.

Q: What certifications can boost AI career prospects? 
Ans: Several certifications can boost your AI career prospects, including Google Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, AWS Certified Machine Learning, CAIS, Generative AI, LLMs, computer vision, deep learning, etc.

Q: How can upGrad help me advance my AI career in Canada?
Ans: upGrad can help you advance your AI career in Canada with innovative and flexible programs from leading institutions, hands-on training and practical skill development, personalized guidance, and access to helpful resources.

Vamshi Krishna sanga
Vamshi Krishna sanga
Vamshi Krishna Sanga, a Computer Science graduate with a master’s degree in Management, is a seasoned Product Manager in the EdTech sector. With over 5 years of experience, he's adept at ideating, defining, and delivering E-learning Digital Solutions across various platforms
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